Module: Ordinary Kriging (Global)
(c) 2008 by O.Conrad
Menu: Geostatistics > Kriging
Name | Type | Identifier | Description | Constraints |
---|---|---|---|---|
Input | ||||
Points | Shapes (input) | SHAPES | ||
Output | ||||
Grid (*) | Data Object (optional output) | GRID | ||
Variance (*) | Data Object (optional output) | VARIANCE | ||
Options | ||||
Attribute | Table field | FIELD | ||
Create Variance Grid | Boolean | BVARIANCE | ||
Target Grid | Choice | TARGET | Available Choices: [0] user defined [1] grid system [2] grid | |
Variogram Model | Choice | MODEL | Available Choices: [0] Spherical Model [1] Exponential Model [2] Gaussian Model [3] Linear Regression [4] Exponential Regression [5] Power Function Regression | |
Block Kriging | Boolean | BLOCK | ||
Block Size | Floating point | DBLOCK | Minimum: 0.000000 | |
Logarithmic Transformation | Boolean | BLOG | ||
Nugget | Floating point | NUGGET | Minimum: 0.000000 | |
Sill | Floating point | SILL | Minimum: 0.000000 | |
Range | Floating point | RANGE | Minimum: 0.000000 | |
Linear Regression | Floating point | LIN_B | Parameter B for Linear Regression: y = Nugget + B * x | |
Exponential Regression | Floating point | EXP_B | Parameter B for Exponential Regression: y = Nugget * e ^ (B * x) | |
Power Function - A | Floating point | POW_A | Parameter A for Power Function Regression: y = A * x ^ B | |
Power Function - B | Floating point | POW_B | Parameter B for Power Function Regression: y = A * x ^ B |